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Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

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Specifications

Publisher	Packt Publishing
ISBN 13	9781788293334
ISBN 10	1788293339
Author	Silas Toms
Language	English

Book Description	Explore GIS processing and learn to work with various tools and libraries in Python.Key FeaturesAnalyze and process geospatial data using Python libraries such as; Anaconda, GeoPandasLeverage new ArcGIS API to process geospatial data for the cloud.Explore various Python geospatial web and machine learning frameworks.Book DescriptionPython comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis.You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.What you will learnManage code libraries and abstract geospatial analysis techniques using Python 3.Explore popular code libraries that perform specific tasks for geospatial analysis.Utilize code libraries for data conversion, data management, web maps, and REST API creation.Learn techniques related to processing geospatial data in the cloud.Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and Spatialite.
About the Author	Paul Crickard Paul Crickard authored a book on the Leaflet JavaScript module. He has been programming for over 15 years and has focused on GIS and geospatial programming for 7 years. He spent 3 years working as a planner at an architecture firm, where he combined GIS with Building Information Modeling (BIM) and CAD. Currently, he is the CIO at the 2nd Judicial District Attorney's Office in New Mexico.
Publication Date	27 April 2018
Number of Pages	440 pages

Cart Total  384.00